Publicacións (36) Publicacións de Diego Fernández Iglesias

2024

  1. Data-Driven Early Academic Intervention: Harnessing AI for Students Achievement

    International Journal of Information and Education Technology, Vol. 14, Núm. 10, pp. 1328-1334

  2. Time Aware F-Score for Cybersecurity Early Detection Evaluation

    Applied Sciences (Switzerland), Vol. 14, Núm. 2

2023

  1. Application of Machine Learning Algorithms for the Validation of a New CoAP-IoT Anomaly Detection Dataset

    Applied Sciences (Switzerland), Vol. 13, Núm. 7

  2. Real-Time Network Auditing System Based on Low-Cost IoT Devices

    Lecture Notes in Networks and Systems

  3. Use of Machine Learning Algorithms for Network Traffic Classification

    VI Congreso XoveTIC: impulsando el talento científico

2022

  1. Measuring Early Detection of Anomalies

    IEEE Access, Vol. 10, pp. 127695-127707

2021

  1. Auditoría Wi-Fi basada en placas de bajo coste

    JITEL 2021 Libro de Actas: XV Jornadas de Ingeniería Telemática, A Coruña 2021

  2. IoT dataset validation using machine learning techniques for traffic anomaly detection

    Electronics (Switzerland), Vol. 10, Núm. 22

  3. Low Cost Automated Security Audit System †

    Engineering Proceedings, Vol. 7, Núm. 1

2020

  1. A Content-Based Approach to Profile Expansion

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 28, Núm. 6, pp. 981-1002

  2. Annotated dataset for anomaly detection in a data center with iot sensors

    Sensors (Switzerland), Vol. 20, Núm. 13, pp. 1-23

  3. HOPE (High Order Profile Expansion) for the new user problem on recommender systems

    CEUR Workshop Proceedings

2019

  1. Anomaly Detection in IoT:: Methods, Techniques and Tools

    XoveTIC 2019: The 2nd XoveTIC Conference (XoveTIC 2019), A Coruña, Spain, 5–6 September

  2. Early Intrusion Detection for OS Scan Attacks

    2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019

  3. Early detection of depression: Social network analysis and random forest techniques

    Journal of Medical Internet Research, Vol. 21, Núm. 6

  4. High Order Profile Expansion to tackle the new user problem on recommender systems

    PLoS ONE, Vol. 14, Núm. 11

  5. Network Data Flow Clustering based on Unsupervised Learning

    2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019

2018

  1. A practical application of a dataset analysis in an intrusion detection system

    NCA 2018 - 2018 IEEE 17th International Symposium on Network Computing and Applications

  2. Analysis and experiments on early detection of depression

    CEUR Workshop Proceedings

  3. GAME TECHNIQUES TO PROMOTE CONTINUOUS TRAINING OF STUDENTS

    12TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE (INTED)